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Record W7002407664

“Not the limit of our imagination”: exploring student advocacy discourses in support of universal higher education

2022· dissertation· en· W7002407664 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicEducational Theory and Curriculum Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNeoliberalism (international relations)Higher educationDiscourse analysisSocial movementSocial justiceHuman rightsFrame analysisAccess to Higher Education
DOInot available

Abstract

fetched live from OpenAlex

Though higher education should be accessible to all on the basis of merit, as per international human rights law, neoliberal policies enacted by provincial governments increasingly worsen financial access to post-secondary education (PSE) in Canada. The ongoing defunding of institutions and student aid are in direct conflict with this right, and represent a significant social justice concern. The Canadian Federation of Students (CFS), the largest centralized student advocacy body in Canada, fights against neoliberal policies that produce and reinforce marginalization of low-income students through a collective social movement in favor of universal PSE. Their lobbying and advocacy are informed by discourses performed on their website and by their members; this study investigates how these discourse frame and inform the CFS’s movement towards equitable realization of the right to equitable PSE. Social semiotics (Hodge & Kress, 1988) and discourse analysis (Jørgensen & Phillips, 2002) are used as methodological frameworks to unpack how the discourse performed by the CFS in their electronic publications and by their members further their collective advocacy. Discussion of how these discourses could be used to improve PSE accessibility and inclusivity in Canada, along with suggested areas of future research, conclude this study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.321
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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